In the face of data bias, this is what BRICS countries should do!
In an interview with China Daily on October 22, Academician Alexey Semyonov from the Russian Academy of Sciences emphasized that the cooperation among BRICS nations should extend beyond developing new technologies to include the sharing of authentic educational experiences. Semyonov, who is also an academician at the Russian Academy of Education and a professor at Moscow State University, highlighted the importance of this focus.
He noted that while most artificial intelligence research is currently concentrated in the United States, with some efforts in European countries, BRICS nations, including Russia, have relatively less involvement in this area. Semyonov pointed out that when AI models are primarily trained on data from English-speaking countries, biases can emerge. He warned that this issue is exacerbated on the internet, where misinformation, including fake news, spreads rapidly and influences various sectors.
To tackle this challenge, Semyonov proposed that BRICS countries should leverage open resources and open-source technologies to develop AI models in their native languages. This approach would help mitigate the biases that come from relying solely on English data. Furthermore, he stressed the significance of valuing the local education systems within BRICS nations and the importance of sharing experiences among teachers, students, and communities. Semyonov particularly highlighted China’s considerable potential to play a crucial role in facilitating this exchange of educational experiences.
